Associate Credit Review Data Scientist

SECU

2d • Hybrid

About The Position

The Associate Credit Review Data Scientist works with senior department members to develop, implement, and monitor predictive models across loan portfolios. The role also develops complex reports and dashboards from multiple data sources using a variety of software tools, then analyzes the data to produce data-driven insights and recommendations.

This is a hybrid role, with work from home permitted as determined by departmental needs. The work takes place in a typical office environment with background noise from employees, copy machines, and telephones. The position involves substantial sitting, operating a computer keyboard, comprehending verbal instructions and phone calls, and lifting up to five pounds.

Requirements

• Four-year degree or high school diploma or equivalent.
• 0–2 years of experience.
• High level of technical aptitude and a passion for analytics, data, and problem solving.
• Ability to define complex business problems and drive the development of analyses that result in tangible insights and solutions.
• Ability to communicate effectively orally and in writing with external third parties, such as vendors and regulators, and internally at multiple organizational levels.
• Ability to collaborate with others to define analytical strategies and solutions while independently executing deliverables.
• Understanding of the fundamentals of the Cross Industry Standard Process for Data Mining (CRISP-DM) and ability to apply this process to analytics projects.

Nice To Haves

• Four-year or graduate degree in analytics, computer science, business, statistics, or mathematics.
• 1–2 years of direct experience preferred.
• Experience developing reports and dashboards with ibi WebFocus, Microsoft Power BI, Microsoft Report Builder/SSRS, Tableau, or other BI and reporting applications.
• Strong proficiency with Microsoft Office applications, specifically Excel.
• Experience with SQL and R, Python, SAS, or other data analysis tools or programming languages.

Responsibilities

• Work with Senior Data Scientists to develop machine learning models and forecasts for loan portfolio topics including delinquency, default, and new loan origination, using validated statistical and machine learning methodologies.
• Perform routine data extracts from core systems, including mainframe and distributed databases, and the enterprise data warehouse; generate reports, advanced analyses, and dashboards from the data.
• Assist Senior Data Scientists in identifying erroneous or outlier data based on operational knowledge, and modify reports and analyses as needed to account for data anomalies.
• Assist operations departments with routine report writing, data validation, and analysis.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: High school or GED